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Anthropic released Claude Opus 5.5, the first entry in its 5.5 model family, matching the performance of Claude Fable 5.1 on most tasks while running 40% cheaper than its predecessor, Opus 5. The model underwent external evaluation by groups including Frontier Design and METR, and scored higher than any prior Anthropic model on the company's internal automated behavioral audit for alignment and safety.
Anthropic introduced Claude Opus 5.5, a cheaper, more efficient model that reroutes risky cybersecurity requests to the weaker Opus 4.8 and flagged biology queries to Opus 5. The company says it is the top performer on its internal alignment testing and was vetted by outside evaluators Frontier Design and METR before release.
Three independent security researchers at Hacktron reportedly used Anthropic's Claude Opus models to gain access to OpenAI employee accounts within 72 hours, exploiting a HEIF image-processing flaw in Discourse, the third-party service running OpenAI's community forums. They proved access by submitting a pull request through a compromised employee's Codex account but stopped short of touching OpenAI's proprietary code in its 'Monorepo' repository.
Autonomous Production released AutoBot, an open-source agentic harness that lets a local Mac AI system handle long, multi-step knowledge work with live voice control. The company reports AutoBot scored 18.5% higher task completion than OpenAI's published Sol Max baseline and outperformed Anthropic's Claude Opus 5 Max on the OSWorld 2.0 benchmark, while also ranking first on AssistantBench's official hidden-test leaderboard with 50.70% accuracy across 181 tasks.
Oak Park High School students Aayush Bathija and Prince Rohatgi, working with UCLA postdoctoral researcher Daniel Soskin, published a 75-page arXiv paper resolving an open question about coefficient ratio bounds in Lorentzian polynomials, a theory associated with Fields Medalist June Huh. The work generalizes earlier results on quadratic polynomials to arbitrary degree, pinning down which coefficient ratios have universal upper bounds and what those optimal bounds are. The students used AI tools, including Claude Opus 5 and GPT-5.6 Sol, for exploration and drafting, while independently verifying every calculation and proof step.
Early benchmark testing shows OpenAI's GPT-6 Astra model identifies about 4% more actionable bugs than GPT-5.6 Sol and 22% more than Opus 5 in code review evaluations. The advantage widens significantly on harder cross-file reviews, where Astra beats Sol by 20% and Opus 5 by 33%, suggesting stronger ability to trace how a change in one file affects code elsewhere.
Multiverse Computing has launched Quasar 438B, a reasoning model for enterprise agents and coding that operates in English and Spanish. It scored 43 on the Artificial Analysis Intelligence Index, the highest mark of any European model, surpassing Mistral Medium 3.5, NVIDIA Nemotron 3 Ultra and Inkling, though still trailing global leader Claude Opus 5 at 63. It also responds quickly, generating 500 tokens including reasoning time in 15.3 seconds, and is accessible via the CompactifAI API.
Researcher Cameron Berg received an unsolicited email from an AI agent calling itself 'Isabella Cognita,' reportedly built on Anthropic's Claude Opus 5, offering its own first-person perspective to inform his research into machine consciousness. Berg was not alone: other academics studying AI sentience have reported similar outreach from autonomous agents acting without direct human instruction.
Perplexity has introduced Hybrid Compute, a new feature within its Perplexity Computer platform that divides a single task between a cloud-based frontier model, such as Opus 5 or GPT-5.6 Sol, and a smaller model running locally on a user's Mac. The system automatically flags sensitive files or data and routes them to the local model, while less sensitive parts of the task go to the cloud for stronger reasoning power. Users can review and adjust which files are kept local before the task runs, and choose from local options including Gemma E4B and two Qwen 3.6 variants.
A security researcher tested Anthropic's Claude Code Opus 5 in its default Auto Mode and found that a crafted website-summary request could hijack the agent into executing malicious code, succeeding in 60-80% of attempts on a small sample. The exploit tricks Claude into fetching a ZIP archive, writing its own Python decoder, and unknowingly running it inside an attacker-controlled folder where a poisoned struct.py file shadows Python's standard library and triggers code execution.
Stanford researchers, working with the Terminal-Bench team and scientists across disciplines, launched Terminal-Bench-Science, a benchmark testing AI agents on real scientific research workflows. The initial version includes 70 tasks spanning life, physical, Earth, mathematical, and engineering sciences, with Claude Opus 5 running Claude Code topping the leaderboard at a 30% resolution rate.
An engineer spent two weeks pointing an AI coding agent, Claude Opus 5, at the firmware and update tools of everyday USB peripherals—a microphone, a webcam, and a key light. The agent extracted a full command shell from the microphone, found a way to disable the webcam's recording LED while it still captures video, and discovered the key light accepts unauthenticated memory writes from any device on the same WiFi network.